opus-mt-en-ar-finetunedSTEM-v5-en-to-ar

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0921
• Validation Loss: 8.1798
• Epoch: 4

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.1178	7.5286	0
0.1103	7.7336	1
0.1028	7.6719	2
0.0976	8.1806	3
0.0921	8.1798	4

Framework versions

• Transformers 4.17.0.dev0
• TensorFlow 2.7.0
• Datasets 1.18.4.dev0
• Tokenizers 0.10.3